On the Generation of Anomaly Detection Datasets in Industrial Control Systems.
Ángel Luis Perales GómezLorenzo Fernández MaimóAlberto Huertas CeldránFélix J. García ClementeCristian Cadenas SarmientoCarlos Javier Del Canto MasaRubén Méndez NistalPublished in: IEEE Access (2019)
Keyphrases
- anomaly detection
- control system
- intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised anomaly detection
- intrusion detection system
- network traffic
- detect anomalies
- network intrusion detection
- network anomaly detection
- industrial automation
- detecting anomalous
- malware detection
- behavior analysis
- network security
- cumulative sum
- computer security
- one class support vector machines
- negative selection algorithm
- connectionist systems
- data assimilation
- unsupervised learning